Software Engineer - Machine Learning
About Nabla
We are a team of entrepreneurs, physicians and engineers committed to bringing back joy to the practice of medicine.
Together with a community of clinician innovators, we’ve harnessed the best of machine learning science to develop Nabla: the leading ambient AI assistant that’s redefining healthcare delivery. By streamlining clinical documentation, Nabla empowers doctors to channel their energy where it matters most - patient care. Trusted by over 30,000 clinicians and implemented in more than 40 healthcare organizations, our AI assistant is making waves in the medical industry.
We are only at the start of an ambitious journey. With a bold vision to support 5 million practitioners worldwide, we've recently secured $30 million in Series B funding and are actively seeking exceptional talent to be part of our team.
This is a great time to join us!
The best of AI at the service of healthcare
Nabla’s phenomenal traction is the result of 3 years of diligent product development.
Our team counts former Facebook AI Research engineers who anticipated the way AI could transform healthcare delivery. Our Machine-Learning team is continually leveraging the latest advancements in the field to unlock the full potential of AI in healthcare.
Not only that, Yann LeCun, Meta’s Chief AI Scientist and AI Godfather, is an advisor to Nabla.
What You'll Do
As a software engineer specialized in machine learning, you will leverage the latest advances in machine learning to build the "Copilot" of healthcare. You will be deeply involved in the ML roadmap, from definition to delivery. Within a team of experts who built large-scale production systems at Facebook, Google or Microsoft, you will:
- propose experiments, model architectures & data labeling strategies to improve our speech to text, note generation and normalization systems.
- implement them and train models
- roll them out on our platform by working closely with product teams
- measure their performance in the real world to improve them over time
Our stack
- Python for everything ML related
- Pytorch and Transformers for training
- vllm for inference
- Google Cloud & Kubernetes for deployment
- Calls to OpenAI GPT-4 when needed
Where you'll be based
Our offices are based in Paris 3e (Arts & Métiers).
Remote policy: 1-2 days a week (with some flexibility). Possibility of working remotely 1-2 weeks once a year.
Your DNA
- You have strong foundations in machine learning
- You’ve trained neural networks for real-world use cases
- You write clean Python code
- You communicate clearly in English
- Broader software engineering experience (infrastructure, front-end, etc) is a plus
Your Team
The Engineering team is composed of 15 people currently, with 3 teams:
- “Front”: in charge of our web application and Chrome extension.
- “Back”: in charge of Infra, Back-End and our API solution
- “Core”: Machine Learning specialists
You will be part of the "Core" team and collaborate closely with the Product Management team.
Benefits
Just like we’re dedicated to supporting doctors’ well-being, ensuring yours is a top priority. We firmly believe that by prioritizing your well-being, we support you to excel in your work.
Here are the benefits you get when joining Nabla:
- Stock ownership
- 100% healthcare coverage
- Meal vouchers
- Public transportation costs covered at 50%
- Exercise class during the workday: Yoga, running, pilates, HITT
- Unlimited budget for book purchases, so you can continue to learn about ML / Healthcare
- Culture of trust & accountability — your output matters more than your clock-in time
Life at Nabla
When you become a part of our company, you join a team of excellence-driven, curious, and genuinely kind individuals. Together, we're committed to making doctors' lives easier and improving healthcare experiences for everyone. We believe in a world where clinicians can focus on what they were trained to do - caring for their patients, and where no patient feels their visit was rushed.
We come to work excited to leverage AI to do more for doctors. We’re obsessed with our users’ satisfaction and we actively seek out opportunities to engage one-on-one with clinicians to understand how Nabla can better help. We consistently look for ways to improve and do not shy away from doing the work to excel. Whether it’s a feature our doctors asked for, or a new article for our blog, we prioritize collaboration to deliver exceptional outcomes.
We love having fun as much as we love work. Our #nablabla channel is as active as our #feature-show-off channel, we exercise during the work day at least 3 times a week (yoga, running, pilates, or HIIT, your choice!), hold a game night every now and then, and are constantly snacking on chocolate or nuts.
If this sounds like an environment you’ll thrive in, we look forward to reading your application!
Diversity & Inclusion
Diversity and inclusivity are fundamental values at Nabla. We embrace individuals from various backgrounds, including race, gender, educational history, sexual orientation, and beyond.
As an equal opportunity employer, we actively seek out and welcome applicants from diverse backgrounds, believing that a wide range of perspectives enriches our team and enhances our ability to innovate and thrive.
Recruitment Process
- Intro call
- Technical Interview (Google Meet) with one of our Software Engineers
- On-Site Interview (Coding Tests, ML case study, Technical Discussion)
- Reference Check
- Final interview with one of our co-founders
We’ll do our best to make sure you get feedback within 48 hours maximum after each interview.